Cgi (GIB) Operating Expenses (2010 - 2025)
Cgi (GIB) reported Operating Expenses of $12.44 million for the quarter ended Jun 30, 2026, down 79.4% from $60.4 million a year earlier and down 58.3% from the prior quarter.
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Analysis
Cgi (GIB) Operating Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cgi's Operating Expenses came in at $149.42 million, up 25.8% year-over-year; for the year ended Sep 30, 2025, it came in at $9.93 billion, up 9.4% from the prior year.
- Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 4.4% (years ended Sep 2020 to Sep 2025).
- By year, Operating Expenses came in at $9.08 billion in the year ended Sep 30, 2024 (+0.6%), $9.02 billion in the year ended Sep 30, 2023 (+8.0%), $8.36 billion in the year ended Sep 30, 2022 (+2.3%) and $8.17 billion in the year ended Sep 30, 2021 (+2.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Expenses since the quarter ended Dec 31, 2024.
- Year over year, Operating Expenses gained in two of the last five quarters, with an average decline of 9.8%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Mar 31, 2023 (growth of 773.0%); the low point was the quarter ended Sep 30, 2021 (a decline of 100.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $29.83 million (quarter ended Mar 31, 2026), $18.82 million (quarter ended Dec 31, 2025) and $88.33 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.11 Bn | 38.61 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 32.14 Bn | 25.30 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Wipro | 22.21 Bn | 17.35 Bn | 745.00 Mn | -154.00 Mn |
| 4 | Cdw | 19.93 Bn | 17.92 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Td Synnex | 19.85 Bn | 14.00 Bn | 1.43 Bn | 784.64 Mn |
| 6 | Cgi | 17.66 Bn | 15.46 Bn | - | - |
| 7 | Arrow Electronics | 11.15 Bn | 10.10 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.58 Bn | 6.76 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.89 Bn | 2.53 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Ingram Micro Holding | 6.33 Bn | 1.94 Bn | 958.68 Mn | 722.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 71.79 Mn |
| Sep 30, 2024 | 204,521.90 |
| Jun 30, 2024 | 73,114.05 |
| Mar 31, 2024 | 107,606.42 |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | -11,021.12 |
| Jun 30, 2023 | 9.70 Mn |
| Mar 31, 2023 | 15.49 Mn |
| Dec 31, 2022 | 14.31 Mn |
| Sep 30, 2022 | 11,328.68 |
| Jun 30, 2022 | 6.29 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 2.08 Mn |
| Sep 30, 2021 | 928.66 |
| Jun 30, 2021 | 500,319.20 |
| Mar 31, 2021 | 670,004.06 |
| Dec 31, 2020 | 3.64 Mn |
| Sep 30, 2020 | 63.23 Mn |
| Jun 30, 2020 | 28.51 Mn |
| Mar 31, 2020 | 330,431.30 |
API Access
Cgi Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GIB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();